Adjustable Particle Separator System and Method of Using Same
Separation of solid particles from liquid phase in a suspension mixture is an ongoing challenge fora variety of industries. Current techniques are time and energy consuming, therefore costly. One of the established techniques in the area of industrial settlers is suspension settling within an inclined duct based on Boycott effect (Lamella clarifier). On the other hand, there is strong evidence that applying an electric field across a suspension can facilitate settling behavior of particles through electrocoagulation. There is a multitude of parameters affecting the settling rate of particles such as particle size, shape, density, and concentration, liquid density and viscosity, duct angle and width, electric field strength, conductivity etc. As a result, full control on settling is not feasible without data analysis through Machine Learning and Artificial Intelligence (AI). For the first time, we aim to design a device incorporating the effects of adjustable geometry inclination angle and duct width, electrocoagulation, and AI. This hybrid device will serve as next generation of industrial particle settlers flexible to various industrials processes improving efficiency and lowering operation cost. This technology can be used in several industrial process including: microbe (algae, yeast, bacteria) separation, fine particle separation in bio-based processing, polymer industry, inorganic and organic material separation and crude oil processing.
Assistant Professor, Engineering Technology